Long-Term Monitoring and Comparison of Control Strategies for Optimizing Energy Consumption in a Plus-Energy Building

  • This paper presents a comprehensive evaluation of control strategies for a highly ener-gy-efficient plus-energy terraced housing complex equipped with photovoltaic generation, modulating ground-source heat pumps, electrical and thermal energy storage systems, and activation of building thermal mass. The study combines long-term monitoring data, annual simulations, and hardware-in-the-loop (HiL) experiments to assess modulating heat-controlled operation (HC), PV-controlled (PVC), and predictive control strategies, in-cluding simple predictive control (SPC) and model predictive control (MPC). The simula-tion results show that the baseline HC operation already achieves a high load cover factor (LCF), defined as the fraction of total electrical demand covered by local PV generation (direct use + battery discharge) of 65.6% and a seasonal performance factor (SPF) of the central heat pumps of 5.8. PVC increases LCF (71.0%) by shifting heat pump operation toward PV-rich periods but leads to elevated storage temperatures up to 5 K and aThis paper presents a comprehensive evaluation of control strategies for a highly ener-gy-efficient plus-energy terraced housing complex equipped with photovoltaic generation, modulating ground-source heat pumps, electrical and thermal energy storage systems, and activation of building thermal mass. The study combines long-term monitoring data, annual simulations, and hardware-in-the-loop (HiL) experiments to assess modulating heat-controlled operation (HC), PV-controlled (PVC), and predictive control strategies, in-cluding simple predictive control (SPC) and model predictive control (MPC). The simula-tion results show that the baseline HC operation already achieves a high load cover factor (LCF), defined as the fraction of total electrical demand covered by local PV generation (direct use + battery discharge) of 65.6% and a seasonal performance factor (SPF) of the central heat pumps of 5.8. PVC increases LCF (71.0%) by shifting heat pump operation toward PV-rich periods but leads to elevated storage temperatures up to 5 K and a reduced SPF of 4.8. MPC further enhances LCF by 4–7 percentage points in simulated and HiL en-vironments. However, its real-world performance is strongly influenced by forecast quality and the limited controllability of the heat pump system. In addition, building thermal mass activation is investigated as a complementary flexibility option. Simulation and monitoring results demonstrate that moderate room temperature set-point (2 K) increases during PV availability significantly improve LCF from 20% to 55% while maintaining thermal comfort. Overall, the findings indicate that in highly efficient plus-energy build-ings, robust rule-based strategies combined with thermal mass activation can achieve a large share of the attainable benefits, while the added complexity of MPC must be carefully weighed against practical limitations.…show moreshow less

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Metadaten
Author:Christina BetzoldORCiD, Sebastian HummelORCiD, Arno DentelORCiD
DOI:https://doi.org/10.3390/buildings16122370
Parent Title (English):buildings
Publisher:MDPI AG
Place of publication:Basel, Switzerland
Editor:Ing Liang Wong
Document Type:Article
Language:English
Date of first Publication:2026/06/13
Reviewed:Begutachtet/Reviewed
Release Date:2026/06/18
Tag:energy management; forecast-based control; heat pumps; model predictive control; real-world monitoring
GND Keyword:Gebäudeenergiesystem; Wärmepumpe; Energieeffizienz; Energiemanagement; Modellprädiktive Regelung
Volume:16
Issue:12
Article Number:2370
Pagenumber:31
institutes:Fakultät Maschinenbau und Versorgungstechnik
Institut für Energie und Gebäude (ieg)
Research Themes:Energie & Ressourcen
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International
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